Thermal Patient Signal Analysis

• US 20170055849A1
• Filed: 09/01/2015
• Published: 03/02/2017
• Est. Priority Date: 09/01/2015
• Status: Active Grant

• Current Assignee: PixArt Imaging Incorporated
• Original Assignee: Siemens Medical Solutions USA Incorporated (Siemens AG)
• Inventors: Zhang, Hongxuan
• Granted Patent: US 10,398,321 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 5/01 Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue clinical contact thermometers G01K13/20
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/14552 Details of sensors specially adapted therefor
• CPC Class Codes: A61B 5/7235 Details of waveform analysis A61B5/349 takes precedence
• CPC Class Codes: A61B 5/7267 involving training the classification device
• CPC Class Codes: A61B 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

Disclosed herein is a framework for facilitating thermal patient signal analysis. In accordance with one aspect, the framework receives patient signal data including thermal signal data. The framework then segments a waveform of the thermal signal data into portions and extracts thermal parameters based on the segmented portions. The framework then determines one or more thermal indices based at least in part on the thermal parameters and generates a report that presents cardiac event detection results determined based at least in part on the one or more thermal indices.

Claims

1. A system for patient signal analysis, comprising:

a patient monitor including a sensor system that simultaneously acquires multiple types of patient signal data including thermal signal data from a patient; and

a computer system communicatively coupled to the patient monitor to receive the patient signal data, wherein the computer system includes

a non-transitory memory device for storing computer readable program code, and

a processor in communication with the memory device, the processor being operative with the computer readable program code to perform steps including

synchronizing a first waveform of a first type of the patient signal data with a second waveform of a second type of the patient signal data by determining time durations between peaks of the first waveform and peaks of the second waveform within a predetermined time window,

determining a synchronicity value based at least in part on the time durations; and

generating a report that presents cardiac event detection results determined based at least in part on the synchronicity value.

2. The system of claim 1 wherein the patient monitor comprises a smart device.

3. The system of claim 1 wherein the sensor system comprises multiple thermal sensors that acquire different types of the thermal signal data from different locations on a body surface.

4. The system of claim 3 wherein the first and second types of the patient signal data comprise different types of the thermal signal data.

5. The system of claim 1 wherein the first and second types of the patient signal data comprise the thermal signal data and non-thermal signal data respectively.

6. The system of claim 5 wherein the non-thermal signal data comprises electrocardiogram (ECG) signal data, oximetric signal data, or a combination thereof.

7. The system of claim 1 wherein the synchronicity value comprises a mean, standard deviation or variance of the time durations.

8. A method of patient signal analysis, comprising:

receiving, from a patient monitor, patient signal data including thermal signal data;

segmenting, by a computer system, a waveform of the thermal signal data into portions;

extracting, by the computer system, thermal parameters based on the segmented portions;

determining, by the computer system, one or more thermal indices based at least in part on the thermal parameters; and

generating, by the computer system, a report that presents cardiac event detection results determined based at least in part on the one or more thermal indices.

9. The method of claim 8 wherein segmenting the waveform of the thermal signal data comprises separating the waveform into the portions according to amplitude threshold values.

10. The method of claim 9 further comprising selecting the amplitude threshold values based on an amplitude range of the waveform.

11. The method of claim 9 wherein extracting the thermal parameters comprises determining time durations from time stamps of start or end point of the segmented portions with respect to a time stamp of an amplitude peak of the waveform.

12. The method of claim 9 wherein extracting the thermal parameters comprises determining time intervals of the segmented portions.

13. The method of claim 8 wherein determining the one or more thermal indices comprises determining a single time ratio based on time intervals or time durations extracted from the segmented portions.

14. The method of claim 8 wherein determining the one or more thermal indices comprises determining a cross time ratio based on time intervals or time durations extracted from the segmented portions.

15. The method of claim 8 wherein determining the one or more thermal indices comprises determining a time duration variability based on time intervals or time durations extracted from the segmented portions.

16. The method of claim 8 wherein extracting the thermal parameters comprises extracting a frequency spectrum from the thermal signal data.

17. The method of claim 16 wherein determining the one or more thermal indices comprises determining a single frequency ratio based on frequency magnitudes extracted from the frequency spectrum.

18. The method of claim 16 wherein determining the one or more thermal indices comprises determining a cross frequency ratio based on frequency magnitudes extracted from the frequency spectrum.

19. The method of claim 8 further comprising:

synchronizing the waveform of the thermal signal data with another waveform of the patient signal data by determining time durations between peaks of the waveform and peaks of the another waveform within a predetermined time window; and

determining a synchronicity value based at least in part on the time durations.

20. A non-transitory computer readable medium embodying a program of instructions executable by machine to perform steps for patient signal analysis, the steps comprising:

receiving patient signal data including thermal signal data;

segmenting a waveform of the thermal signal data into portions;

extracting thermal parameters based on the segmented portions;

determining one or more thermal indices based at least in part on the thermal parameters; and

generating a report that presents cardiac event detection results determined based at least in part on the one or more thermal indices.